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We do not just solve problems for our customers, we enable them to transform their businesses through our innovation.
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APL, in collaboration with Microsoft, designed and implemented the golf’s first Artificial Intelligence Caddie for Arccos. The platform leverages golf industry’s biggest global data set – 61 M + shots, 368 M geotagged data points, 40 K golf courses. The AI engine is a complex multi-model system with 60+ models and 500+ features predicting different facets of the game in order to provide the overall shot strategy.
WE BUILT THE WORLD’S FIRST AI-DRIVEN GOLF CADDY THAT RECOMMENDS OPTIMAL GAME STRATEGY BY ANALYZING MILLIONS OF HISTORICAL AND STREAMING DATA POINTS IN REAL-TIME.
Interloop Limited is a textile based B2B manufacturing company headquartered in Faisalabad, Pakistan. It supplies its products to retailers like Nike, Adidas, H&M, Puma, Levi’s, Reebok and Target.
ENTERPRISE DATA ANALYTICS & RPA FOR GREATER EFFICIENCY.
Analytics (APL) has partnered with Interloop where a data analytics roadmap has been agreed and phase 1 (Including Balanced Scorecard) kicked-off comprising of semantic layer development and respective visualizations. In parallel, we are working closely to automate multiple processes after success of RPA around order processing. Interloop managed to reduced their turn around time for new orders from weeks to few minutes.Robotic Process Automation>
IFC is largest global development institution focused on the private sector development. IFC is a member of World Bank Group operating in more than 100 countries. APL is developing an AI driven credit scoring engine that will determine credit riskiness of borrower and non-borrower farmers alike.
AGRI-CREDIT SCORING MODEL, MACHINE LEARNING, DATA SCIENCE
Data from multiple discrete source systems both internal (core banking, LOS, DFS apps) and external (credit bureaus, e.g. Tasdeeq, weather, historical crop yields & prices, etc. will feed machine learning models to predict credit score against a possible agri-loan application. This will not only result in effective disbursements of loans to the right customers but also enhanced operational efficiency.Artificial Intelligence>
FINCA Microfinance Bank is a leading microfinance bank with staggering growth in customer base.
ENTERPRISE DATA WAREHOUSE, BUSINESS INTELLIGENCE AND ADVANCED ANALYTICS (ROADMAP)
Analytics Private Limited implemented end to end EDW and Business Intelligence solution for the bank integrating its various operational systems to provide a holistic enterprise view for management and decision makers.Data Analytics>
Ancera is a pioneer in microbial risk assessment and monitoring solutions for the food industry. Ancera’s PIPER™ platform, enables near real-time, rapid detection and quantification of microbial threats across all points in the food production process, from farm-to-consumer. Powered by patented ferrofluid based MagDrive™ technology, Ancera offers an integrated solution capable of label-free sorting, microscopy, enumeration, assaying and recovery of cells directly from complex food sources
ARTIFICIAL INTELLIGENCE AND DATA SCIENCE
APL is working with Ancera – leading Microbial Risk Assessment technology provider for early detection of the food contamination and biological threats in the United States. Analytics (APL) is working on the AI & Machine Learning models for bacteria cell segmentation and quantification and to predict the food contamination, poultry vaccination effectiveness and microbial risk.Artificial Intelligence>
Jubilee Life Insurance, Pakistan’s biggest life insurance company with staggering growth are proud to have partnered with Analytics Private Limited for development and deployment of an enterprise business intelligence solution.
ENTERPRISE DATA WAREHOUSE, BUSINESS INTELLIGENCE AND ADVANCED ANALYTICS (ROADMAP)
As part pf phase 1, APL has successfully implemented DWH and business intelligence solution covering health, life and takaful line of businesses. As part of phase 2 (to be kicked-off soon) APL has the mandate of having the DHW transformed into an enterprise data warehouse by sourcing contact, call center and financials data. Furthermore, number of different advance analytical use cases and robotic process automation are being discussed for phase 3.Robotic Process Automation>
FMFB enables its clients to strengthen their entrepreneurial base and build financial, physical and human capital to secure their future. Currently, there are 83 full-service branches, 6 POLs, and 50 Pakistan Post sub-offices, all over Pakistan
ENTERPRISE DATA ANALYTICS Analytics (APL) enabled FMFB in integrating its disparate customer databases. Data residing in silos caused a major challenge in enterprise reporting, APL not only helped create a single repository for its various data sources but also engineered a customer unification engine; which is a complex rule-based joining engine for identifications in various unrelated databases. In parallel, we are working closely to create a unified semantic layer that will serve as a single endpoint for all downstream analytics. Also working to formulate a data governance strategy that fulfills the bank’s strategic data requirements.Data Analytics>
IMPLEMENTATION OF CREDIT RATING, SCORING SYSTEM, AND REPORTING SYSTEM
APL have implemented credit rating and scoring system for PACRA. System can handle dynamic financial statements like Balance Sheet, Cash Flow, Ratio Analysis etc. for credit analysis and rating calculation. System is capable of handling historic data for each client according to data retention requirements. Specialized scoring model is implemented for credit rating and scoring for Quantitative and Qualitative measures. System maintains complete detail and history of each rating computation for audit and analysis. Reporting module of system offers various reports according to client requirements like cross company statement comparison, rating comparison etc.Software Development>
The United Insurance Company – Public Interest Company | General Business including Group Health Insurance, Travel Insurance (Health), Travel Bonds & Guarantees, Livestock and Crop Insurance | Fourth largest player in the insurance industry | IFS Rating by PACRA: ‘AA’ | Listed in Pakistan Stock Exchange Limited as Public Limited Company | Operating 110+ branches
TO DRIVE THE BUSINESS INTELLIGENCE AND INFORMATION STRATEGY BY CREATING A CLIENT-CENTRIC AND TRUSTED SOURCE OF INFORMATION.
APL Implemented UICL Business Intelligence solution to provide UICL main decision and support tool to optimize productivity and achieve client growth. This BI solution delivers an integrated reporting environment, where business can do ad hoc analysis based on day-to-day analytical needs in order to answer key business questions. This Solution also Delivers a consolidated reporting platform for the UICL, with foundational data related to following lines of business:- MOTOR
- Health
- MARINE
- MISCELLEANEOUS
- ENGINEERING
- FIRE
Artificial Intelligence>
ENABLING THE BUSINESS USER AND MANAGEMENT TO ANALYZE BANK’S PERFORMANCE AND GAUGE THROUGH KPIS USING A PURPOSE BUILT SEMANTIC AND BI MODEL ON BASED ON AN INTEGRATED DATA WAREHOUSE (DWH).
To reduce the information delivery issues and delays due to application locked architecture, APL has proposed a solution to DIB which is aligned to DIB business needs and future expansions. The solution would provide the Bank an standardize data warehouse to remove redundancy. Further it will provide the data integration aspect using baking industry data model. The purpose is to enhance the data organization and provide a historical view. The DWH will provide a single version of truth for all the business KPIS, which will be created in business specific semantic layer in Cognos BI tool. The tool will not only provide dashboards and reports but a catalog of business dimensions and KPIs/metric to create ad-hoc analysis and do self-service BI.Explore Data Analytics>
Tanmia UAE – | Enterprise Dashboards & Self-Service BI
WE ARE ENABLING THE CLIENT TO ANALYZE EMIRATIZATION AND LABOR STATISTICS. TIMELY REPORTING TO MINISTRIES BASED ON NEAR REAL-TIME DATA ALLOWING DATA-DRIVEN DECISION MAKING.
The national human resources development and employment authority are responsible for national manpower requirements. For this purpose, timely analysis for labour market indicators was required. APL helped Tanmia build enterprise business intelligence solution using top of the line tools like Microstrategy. Diverse requirements were catered in the one-stop solution for data analytics with bilingual support, i.e. reports and dashboards both in Arabic and English. GIS support for localized maps was created, ensuring seamless user experience on desktop and well as mobile devices. Explore Advisory>
Emirates, is the flag carrier airline of the United Arab Emirates. Based in Garhoud, Dubai, the airline is a subsidiary of The Emirates Group, which is owned by the government of Dubai’s Investment Corporation of Dubai.
ENTERPRISE DATA WAREHOUSE AND BUSINESS INTELLIGENCE IMPLEMENTATION FOR EMIRATES IN UNITED ARAB EMIRATES.
Analytics Private Limited was sub contracted for its services for enterprise data warehouse and business intelligence implementation for Emirates in United Arab Emirates. Analytics (APL) made its mark in mainly crafting semantic layer for business analytics and mappings required to populate airline data into industry data models. Business layer model enabled users to create analysis on as is as well as historical data. Airline industry key performance indicators were embedded to provide holistic view to decision makers in the organization.Artificial Intelligence>
Ooredoo Oman is an Omani telecommunications company owned by Ooredoo. It is the Sultanate’s first privately owned telecommunications company, and serves millions of customers for fixed line and broadband services (corporate and residential).
MANAGED SERVICES, DATA INTEGRATION AND BUSINESS INTELLIGENCE.
Analytics (APL) partnered with NCR a global technology firm specializing in variety of services including data warehousing and business intelligence. Together we delivered end to end managed services for daily data ingestion and analytical requirements for end users. Resource augmentation model provided Ooredoo with the flexibility of acquiring skillsets without worrying about human resource availability. APL team also managed daily reporting needs of Ooredoo business and technical teams. This involved gathering of reporting and dashboarding requirements from stakeholders and then to translate it into semantic model. Finally, these reports and dashboards were delivered to end users in Microstrategy.Data Analytics> Advisory>
OCS Pakistan (currently M&P Logistics) is one of the largest logistics services in Pakistan.
ENTERPRISE LOGISTICS WEB PORTAL AND MOBILE APP.
APL had developed the end-to-end (from booking to delivery) logistics system and was implemented over 350+ branches/express centres nationwide.
Advisory>
Adamjee Insurance Company Limited (AICL) is the largest general insurance company in Pakistan, incorporated as a Public Limited Company on 28 September 1960 and is listed on Pakistan Stock Exchange Limited. AICL has a unique advantage of having regional presence in United Arab Emirates (UAE) and maintains its standing through an unwavering commitment to its corporate philosophy. AICL’s competitive advantage is achieved by having the largest paid-up capital and reserves, and a well-diversified business portfolio.
ENTERPRISE DATA WAREHOUSE, BUSINESS INTELLIGENCE, ADVANCED ANALYTICS, MANAGED SERVICES, DATA SCIENCE, WEB AND MOBILE DEVELOPMENT (ANDROID AND IOS)
APL implemented an enterprise data warehouse and business intelligence encapsulating information from 5 different systems along with 2 separate ERPSs deployed in Pakistan and UAE respectively. Master data management ensures that master data such as customer, branches, products, etc. remain consistent across applications and territories. Furthermore, Data Integration Framework (DIF) was furnished such that any needs of integrating future data (Automatic or Manual) was seamlessly possible. As part of on-going improvements to reduce total cost of ownership and overcome performance issues with existing database platform, APL has successfully migrated the data platform to Microfocus Vertica (Formerly HP Vertica) ensuring seamless analytics and significant query processing gains. With regards to Web and Mobile, we designed and developed Web Portal and Smart App for AICL Health Insurance line of business. Currently APL is in the process of developing an application-based claim management system for Adamjee Insurance. The app will facilitate the claims department by allowing customers to take pictures of the accidental car and share directly with Adamjee in order to get a rough quote against a claim request. Using deep learning we are able to recognize objects in images, i.e. in our case assess damages and will be able to recommend plausible action steps for relevant claim department personnel.Data Analytics> Artificial Intelligence>
Faysal Bank Limited is a Pakistani Islamic and commercial bank, a subsidiary of the Bahraini bank Ithmaar Bank, based in Karachi, Sindh, Pakistan.
ENTERPRISE DATA WAREHOUSE, ADVANCED ANALYTICS, DATA SCIENCE AND CUSTOMER 360 APP
Analytics Private Limited implemented a customer data warehouse and business intelligence for Faysal Bank. The data warehouse integrates data from 8 disparate source applications including 2 core banking systems. Master data management ensures that all customer data in integrated into a single repository to provide a complete 360-degree view of the customer. APL is working closely with Faysal Bank to uplift its data analytics ecosystem by enriching existing data warehouse and paving way for advance analytics that will enable decision makers to shift from generic user experience to personalized consumer experience. We will also be providing Connect 360, our CRM product facilitating FBL team with mobility and ability to execute intelligent campaigns.Connect 360>
Aequitas Information Services Limited (AISL) is a Fintech and Pakistan’s first licensed credit bureau. AISL is in the process of aggregating and integrating data from financial and non-financial entities, such as; banks, telecoms, utility companies, etc.
CREDIT BUREAU APPLICATION, ENTERPRISE DATA WAREHOUSE, ADVANCED ANALYTICS AND DATA SCIENCE
APL’s role is to develop the core data platform and machine learning models that predict individual’s credit worthiness. Software Development>
GEARING UP THE TECHNICAL & BUSINESS USERS TO CREATE VALUE USING APPLIED DATA SCIENCE
APL provided CMPAK Zong with the Workshop model that not only up-skilled their current resources for Data Science & Machine Learning methodologies but also for the Users to understand its true value. Our workshop enabled the users to understand various lifecycle phases along with fundamental concepts of machine learning using Python language. The Attendees were from Data Analytics, Sales, Marketing & Risk department where Real-world use cases were presented to cut through the hype and help them better understand how value-driven Machine Learning is done.Advisory> Data Analytics>
Bank Al Habib – | Data warehouse Solution and BI Reporting
ESTABLISHED A UNIFIED DATA REPOSITORY WHICH WILL SERVE ALL RELATED FUNCTION’S REPORTING AND ANALYTICAL REQUIREMENTS.
APL provided Al Habib with the denormalized application-based data model with a customized semantic layer on top of it. Star Modeling technique was used to build different reporting subject areas and multiple Operational, Historical and Analytical reports were built over it. Doing that, APL was able to reduce the reporting TAT from multiple days to a few minutes. Data was more consistent than before and single version of truth was ensured across all the reporting areas. Additionally, periodic Data Ingestion score cards and Data Quality Register(s) ensured proper escalations of quality concerns across different data points and system(s). Project was successfully implemented and handed-over to inhouse team for day-to-day operation. Multiple departments including Finance and Risk and Re-conciliation department (RRD) used the developed insights on daily basis for their operational and planning/budgeting activities.
Telenor Pakistan – | Talend Enterprise Enablement & Training
AS A GLOBAL REALIGNMENT OF THE TECHNOLOGY STACK, TELENOR PAKISTAN OPTED FOR TECHNOLOGIES LIKE TALEND ENTERPRISE FOR ITS EVER-GROWING DATA INTEGRATION NEEDS.
Talend Enterprise Data Integration Suite is a globally proven tool famous for its ease of use and flexibility of prebuilt components. As part of technology overhaul at Telenor Pakistan, enabling internal teams with Talend enterprise was pivotal for the success of future initiatives. Telenor Pakistan partnered with APL to upskill its resources by extensive pieces of training by industry-recognized trainers. APL was also mandated to set up one of its kind Talend Enterprise environments in the country, which will be used by various teams to develop a variety of data analytics use cases.Advisory>
Standard Chartered Pakistan – | Enabling Risk Analytics using BI
TO CREATE AN OPTIMAL PORTFOLIO, ANALYZING RISK IS VITAL FOR ANY FINANCIAL INSTITUTION. SELF SERVICE ANALYTICS WAS THE NEED OF THE HOUR FOR THE RISK MANAGEMENT TEAM.
Legacy tools and excel were not enough to cater to the needs of the ever-growing market with increasing variability in risk exposures for various products. APL partnered with SCB Pakistan team and enabled risk analytics using relational tools like IBM Cognos Analytics. Key takeaway included faster and more in-depth insights utilizing the speed of thought analytics and less maintenance as compared to legacy solutions. Complex statutory reporting with pixel-perfect layouts became possible by business teams with no or little involvement of IT.Advisory>
Technology Partners
